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Modeling survival data using frailty...

Hanagal, David D.

Modeling survival data using frailty models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling survival data using frailty modelsby David D. Hanagal.
Author:	Hanagal, David D.
Published:	Singapore :Springer Singapore :2019.
Description:	xxiv, 295 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Survival analysis (Biometry)Mathematical models.
Online resource:	https://doi.org/10.1007/978-981-15-1181-3
ISBN:	9789811511813$q(electronic bk.)

Modeling survival data using frailty models
Hanagal, David D.

Modeling survival data using frailty models[electronic resource] /by David D. Hanagal. - 2nd ed. - Singapore :Springer Singapore :2019. - xxiv, 295 p. :ill. (some col.), digital ;24 cm. - Industrial and applied mathematics,2364-6837. - Industrial and applied mathematics..

1 Introduction to Survival Analysis -- 2 Some Parametric Models -- 3 Nonparametric and Semiparametric Models -- 4 The Frailty Concept -- 5 Various Frailty Models -- 6 Estimation Methods for Shared Frailty Models -- 7 Analysis of Survival Data in Shared Frailty Models -- 8 Tests of Hypotheses in Frailty Models -- 9 Shared Gamma Frailty Models -- 10 Shared Gamma Frailty Models Based on Reversed Hazard -- 11 Bivariate Frailty Models and Estimation Methods -- 12 Correlated Frailty Models -- 13 Correlated Gamma and Inverse Gaussian Frailty Models -- 14 Correlated Gamma Frailty Models Based on Reversed Hazard.

This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.

ISBN: 9789811511813$q(electronic bk.)

Standard No.: 10.1007/978-981-15-1181-3doiSubjects--Topical Terms:

544749
Survival analysis (Biometry)
--Mathematical models.

LC Class. No.: QH323.5 / .H35 2019

Dewey Class. No.: 610.15118

Modeling survival data using frailty models
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100 1 $a Hanagal, David D. $3 544748
245 1 0 $a Modeling survival data using frailty models $h [electronic resource] / $c by David D. Hanagal.
250 $a 2nd ed.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xxiv, 295 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Industrial and applied mathematics, $x 2364-6837
505 0 $a 1 Introduction to Survival Analysis -- 2 Some Parametric Models -- 3 Nonparametric and Semiparametric Models -- 4 The Frailty Concept -- 5 Various Frailty Models -- 6 Estimation Methods for Shared Frailty Models -- 7 Analysis of Survival Data in Shared Frailty Models -- 8 Tests of Hypotheses in Frailty Models -- 9 Shared Gamma Frailty Models -- 10 Shared Gamma Frailty Models Based on Reversed Hazard -- 11 Bivariate Frailty Models and Estimation Methods -- 12 Correlated Frailty Models -- 13 Correlated Gamma and Inverse Gaussian Frailty Models -- 14 Correlated Gamma Frailty Models Based on Reversed Hazard.
520 $a This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.
650 0 $a Survival analysis (Biometry) $x Mathematical models. $3 544749
650 1 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Bayesian Inference. $3 825978
650 2 4 $a Simulation and Modeling. $3 273719
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Industrial and applied mathematics. $3 732769
856 4 0 $u https://doi.org/10.1007/978-981-15-1181-3
950 $a Mathematics and Statistics (Springer-11649)